Fault Diagnosis of Rolling Bearing Based on the Permutation Entropy of VMD and Decision Tree-Reference-Cited by-同舟云学术

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Fault Diagnosis of Rolling Bearing Based on the Permutation Entropy of VMD and Decision Tree

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE)
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Author:

Chen Xihui,Yang Zenan,Lou Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9068191/9094765/09095187.pdf?arnumber=9095187

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting slump for high‐performance concrete using decision tree and support vector regression approaches coupled with phasor particle swarm optimization algorithm;Structural Concrete;2024-08-11

2. Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications;Energies;2024-06-04

3. Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-09-29

4. An improved time-frequency signal decomposition method and its application in bearing incipient fault diagnosis;2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS);2023-09-22

5. A meta-path graph-based graph homogenization framework for machine fault diagnosis;Engineering Applications of Artificial Intelligence;2023-05

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